Forward Deployed Machine Learning Engineer

Raydar

4d • $170,000 - $270,000 • Remote

About The Position

This is the first Machine Learning Engineer dedicated to the company's Benchmarks and Evaluations vertical. You will partner directly with the general manager, researchers, and early enterprise customers to establish the technical foundation for evaluating foundation models across domains and modalities. The role combines hands-on ML evaluation, backend infrastructure, and customer-facing delivery in a high-ownership environment.

Requirements

• 4 or more years of engineering experience, including hands-on machine learning model evaluation work.
• Experience deploying end-to-end ML evaluation or benchmark systems to production against demanding customer timelines.
• Strong proficiency with ML evaluation frameworks and benchmark design, including approaches such as LLM-as-judge.
• Ownership of backend and infrastructure systems such as large-scale data pipelines, execution environments, storage, and orchestration.
• Customer-facing engineering experience managing enterprise stakeholders.
• A degree in computer science, physics, or a related technical field.
• Current unrestricted U.S. work authorization without visa sponsorship.

Nice To Haves

• Experience building evaluations or human-data pipelines for large language models.
• Experience working directly with AI researchers or foundation-model labs.
• Published work or meaningful open-source contributions in ML evaluations or benchmarks.
• Early-stage B2B startup, forward-deployed engineering, or high-ownership generalist experience.

Responsibilities

• Define, design, and build production benchmarks and evaluations with customers and internal researchers.
• Build and own backend infrastructure, including data pipelines, execution environments, storage, and orchestration.
• Create sandboxed environments for agentic evaluations involving tools, code execution, and multi-step tasks.
• Own the engineering portion of customer engagements from technical scoping through production delivery.
• Identify repeatable evaluation patterns and infrastructure gaps that can become scalable products.
• Move quickly through ambiguity while maintaining strong technical judgment and clear written communication.

Benefits

• $170K-$270K base salary.
• Competitive equity.
• Comprehensive benefits provided by a well-capitalized, high-growth company.
• High autonomy and the opportunity to build a new technical vertical from the ground up.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior